International Journal of Innovations in Science Engineering and Management.,
Год журнала:
2023,
Номер
unknown, С. 59 - 64
Опубликована: Ноя. 25, 2023
More
than
anything
else,
artificial
intelligence
is
crucial
to
the
human
resources
sector.
In
order
recruit
and
create
a
competent
staffing
hiring
process,
HR
recruiters
have
integrated
AI
technologies.
duties
are
anticipated
adapt
in
tandem
with
ongoing
changes
workplace
advancement
of
technology
all
industries
nowadays.
this
article
review
various
study
on
role
modern
resource
management.
It
concluded
that
transforming
Human
Resource
Management
(HRM)
by
improving
efficiency,
decision-making,
employee
experience.
streamlines
recruitment,
talent
management,
performance
evaluation,
safety
while
enabling
data-driven
insights.
However,
ethical
concerns
such
as
bias
job
displacement
must
be
addressed.
Balancing
automation
empathy
for
its
success.
This
highlights
AI’s
potential
mediating
factors,
creativity
usability,
HRM.
While
offers
significant
benefits,
industry-specific
challenges
evolving
nature
considered.
Thoughtful
strategic
integration
will
ensure
ethical,
effective,
sustainable
workforce
management
organizations.
Purpose
Artificial
intelligence
(AI)
radically
transforms
organizations,
yet
ethical
AI’s
effect
on
employee
innovation
remains
understudied.
Therefore,
this
study
aims
to
explore
whether
responsible
artificial
(RAI)
enhances
high-tech
employees’
innovative
work
behavior
(IWB)
through
creative
self-efficacy
(CSE)
and
mental
health
well-being
(EMHWB).
The
further
examines
how
leaders’
RAI
symbolization
(LRAIS)
moderates
RAI’s
effect.
Design/methodology/approach
Through
structural
equation
modeling,
441
responses
of
firms’
employees
from
Pakistan
were
utilized
for
hypotheses
testing
via
SmartPLS-4.
Findings
results
revealed
that
second-order
IWB.
was
supported
directly
indirectly
CSE
EMHWB.
also
showed
LRAIS
significantly
influence
CSE,
the
one
hand,
EMHWB,
other.
Practical
implications
High-tech
managers
can
fix
AI-outlook
issues
impair
their
IWB
by
prioritizing
an
AI
design
involving
actions
like
control
mechanisms,
bias
checks
algorithmic
audits.
Similarly,
these
should
facilitate
discussions
targeted
trainings
focusing
cognitive
development
well-being.
Likewise,
embracement
programs
evaluations
leadership
positions
could
be
incorporated
into
firms.
Originality/value
This
advances
mainstream
literature
addresses
a
notable
gap
concerning
while
grounding
in
social
theory.
Moreover,
unveils
EMHWB
affect
within
milieus.
Additionally,
signaling
theory,
it
underscores
significance
amplifying
direct
association
between
RAI,
firms
emerging
markets.
Image-generating
AI
is
among
the
most
popular
generative
applications,
likely
changing
visual
mediated
environments
humans
are
exposed
to
on
a
mass
scale.
Prior
work
found
that
can
be
biased
against
women
and
minorities
(algorithmic
bias),
whereas
attribute
rather
high
objectivity
AI.
We
focused
image-generating
AI,
analyzing
extent
of
algorithmic
bias
in
AI-generated
pictures,
as
well
human
responses
Study
1
showed
portraits
people
STEM
professions
were
almost
exclusively
depicting
male,
white
(and
older)
individuals.
2
(experimental,
N
=
495)
pictures
vary,
depending
portrayed
group.
Participants
perceived
less
if
they
introduced
AI-generated,
but
only
college
students
(vs.
older
people).
If
images
people,
participants
reported
higher
moral
outrage
supposedly
generated
by
creators).
Advances in human and social aspects of technology book series,
Год журнала:
2024,
Номер
unknown, С. 82 - 143
Опубликована: Июнь 30, 2024
Humankind
faces
growing
artificial
intelligence
(AI)
and
AI-based
applications,
influencing
almost
every
activity,
including
human
resource
management
(HRM),
revolutionizing
humans'
work
nature
content,
workers,
workplaces,
HRM
processes,
etc.
AI
can
support
various
practices,
such
as
candidate
selection,
employee
training,
data
analysis,
evaluation,
If
organizations
appropriately
utilize
AI,
they
enhance
productivity
their
general/individual
performance,
streamline
increase
efficiency,
ultimately
improving
engagement
well-being.
Hence,
use
to
stay
ahead
of
competitors
help
develop
an
innovative
sustainable
socially
responsible
society
(ISSRS)
overcome
crises.
should
only
be
used
a
tool
not
replace
humans,
which
is
essential
for
creative,
efficient,
satisfying,
successful
environment.
Sustainability,
Год журнала:
2024,
Номер
16(16), С. 6865 - 6865
Опубликована: Авг. 9, 2024
This
study
investigates
the
role
and
impact
of
artificial
intelligence
(AI)
in
electric
power
industry
through
a
thematic
analysis
corporate
communications.
As
AI
technologies
proliferate,
industries—such
as
industry—are
undergoing
significant
transformations.
The
research
problem
addressed
this
involves
understanding
how
companies
perceive,
adopt,
implement
AI,
well
implications
these
developments.
By
employing
qualitative
approach,
we
examined
corpus
communications
from
innovation
leaders,
including
annual
reports
sustainability
reports,
sector.
data
spanned
2020
to
2023,
capturing
crucial
period
integration
industry.
Our
reveals
several
key
findings.
Firstly,
there
is
clear
trend
toward
increased
utilization
various
facets
sector,
grid
management,
predictive
maintenance,
customer
service.
Companies
actively
invest
enhance
operational
efficiency,
reduce
costs,
improve
service
quality.
Secondly,
discourse
has
shifted
significantly,
with
emphasizing
AI’s
efforts.
Moreover,
our
identified
challenges
concerns
associated
adoption
In
conclusion,
provides
valuable
insights
into
evolving
landscape
findings
underscore
transformative
potential
technologies,
highlighting
opportunities
for
enhanced
efficiency
sustainability.
However,
they
also
emphasize
addressing
ensure
responsible
beneficial
integration.
contributes
growing
literature
on
industries,
offering
practical
companies,
policymakers,
stakeholders
navigating
AI-driven
future
Practice, progress, and proficiency in sustainability,
Год журнала:
2024,
Номер
unknown, С. 75 - 95
Опубликована: Июль 26, 2024
This
study
assesses
the
impact
of
digital
transformation
on
environmental
sustainability
within
India's
manufacturing
industry,
utilizing
PLS-SEM.
The
investigation
focuses
operational
efficiency
as
a
mediator
and
organizational
culture
moderator.
Data
were
collected
from
409
respondents
in
industry
using
an
online
Google
form
survey
conducted
October
2023
to
March
2024,
employing
convenience
sampling.
findings
indicate
that
significantly
enhances
sustainability.
Operational
is
anticipated
mediate
relationship
between
sustainability,
with
moderating
efficiency.
research
contributes
theoretical
understanding
provides
practical
insights
for
firms
leveraging
technologies
sustainable
practices.
